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Journal of Cell Science logoLink to Journal of Cell Science
. 2019 Oct 9;132(19):jcs231753. doi: 10.1242/jcs.231753

COMMD1 and PtdIns(4,5)P2 interaction maintain ATP7B copper transporter trafficking fidelity in HepG2 cells

Davis J Stewart 1, Kristopher K Short 1, Breanna N Maniaci 1, Jason L Burkhead 1,*
PMCID: PMC6803360  PMID: 31515276

ABSTRACT

Copper-responsive intracellular ATP7B trafficking is crucial for maintaining the copper balance in mammalian hepatocytes and thus copper levels in organs. The copper metabolism domain-containing protein 1 (COMMD1) binds both the ATP7B copper transporter and phosphatidylinositol (4,5)-bisphosphate [PtdIns(4,5)P2], whereas COMMD1 loss causes hepatocyte copper accumulation. Although it is clear that COMMD1 is localized to endocytic trafficking complexes, a direct function for COMMD1 in ATP7B trafficking has not yet been defined. In this study, experiments using quantitative colocalization analysis reveal that COMMD1 modulates copper-responsive ATP7B trafficking through recruitment to PtdIns(4,5)P2. Decreased COMMD1 abundance results in loss of ATP7B from lysosomes and the trans-Golgi network (TGN) in high copper conditions, although excess expression of COMMD1 also disrupts ATP7B trafficking and TGN structure. Overexpression of COMMD1 mutated to inhibit PtdIns(4,5)P2 binding has little impact on ATP7B trafficking. A mechanistic PtdIns(4,5)P2-mediated function for COMMD1 is proposed that is consistent with decreased cellular copper export as a result of disruption of the ATP7B trafficking itinerary and early endosome accumulation when COMMD1 is depleted. PtdIns(4,5)P2 interaction with COMMD1 as well as COMMD1 abundance could both be important in maintenance of specific membrane protein trafficking pathways.

KEY WORDS: ATP7B, COMMD1, Endosome, Lysosome, Trafficking


Summary: Quantitative analysis of 3D protein colocalization defines the cellular function of COMMD1 in maintenance of ATP7B copper transporter trafficking fidelity and the importance of PtdIns(4,5)P2 in this action.

INTRODUCTION

Transmembrane and membrane-associated proteins are crucial components of the cell plasma membrane (PM) and organelles, where transport, catalytic activity, signaling and intracellular trafficking must be regulated based on cell physiologic state. Therefore, the proper function and localization of these proteins is crucial to the well-being of the cell and to the overall health of the organism. The presence and abundance of proteins at the cell surface is regulated by (1) the secretion of proteins to the PM (a process known as exocytosis or anterograde trafficking) and (2) the internalization of proteins at the PM for degradation or recycling (a process known as endocytosis or retrograde trafficking). Proteins following the exocytic pathway leave the trans-Golgi network (TGN) and travel directly to the PM in secretory vesicles. Alternatively, endocytic vesicles containing internalized PM proteins quickly target the early endosome (EE). From here, sorting machinery determines the subsequent fate of each cargo protein: targeting for recycling back to the PM, degradation via lysosomes or retrograde routing to the TGN. This sorting machinery involves the coordinated action of numerous regulatory molecules.

The copper metabolism domain-containing protein 1 (COMMD1, previously known as Murr1) and COMMD family proteins have recently gained interest for their roles in endosomal sorting. COMMD1 is the founding member of the ten-protein COMMD family and was first identified in Bedlington Terriers suffering from canine copper toxicosis. These animals carried a deletion in both alleles of exon 2 of the MURR1 (also known as COMMD1) gene, resulting in disruption of biliary copper excretion along with chronic hepatitis and cirrhosis, similar to Wilson disease in humans (Klomp et al., 2003; Rothuizen et al., 1999; Van De Sluis et al., 2002). COMMD1 quickly became of interest as a regulator of cellular copper levels. Burstein et al. (2004) first established a link between COMMD1 and intracellular copper accumulation in vitro using mRNA interference in the human embryonic kidney epithelial cell line (HEK293) (Burstein et al., 2004). Additionally, it was shown that siRNA-mediated knockdown of COMMD1 in canine hepatic cells resulted in increased copper retention and sensitivity to excess extracellular copper (Spee et al., 2007).

COMMD1 binds with high specificity to the signaling lipid phosphatidylinositol 4,5-bisphosphate [PtdIns(4,5)P2] via the conserved C-terminal domain and is stabilized by the formation of higher order oligomers (Burkhead et al., 2009). Furthermore, COMMD1 has also been identified as a factor in endosomal sorting of several other membrane proteins. It was recently reported that COMMD1 formed a novel complex with coiled-coil domain-containing protein 22 (CCDC22) and with the previously uncharacterized coiled-coil domain-containing protein 93 (CCDC93) and C16orf62 (Phillips-Krawczak et al., 2015). This COMMD/CCDC22/CCDC93 (CCC) complex is recruited by FAM21 to endosomes. FAM21 functions in coordination with the Wiskott–Aldrich syndrome protein and SCAR homolog (WASH) complex, retromer and sorting nexins to facilitate tubulation of early endosomes and receptor trafficking. The authors found that the CCC complex was necessary for ATP7A retrograde trafficking, including ATP7A routing to both the PM and TGN, indicating that other factors might be important in determining the correct pathway (Phillips-Krawczak et al., 2015). The CCC complex in coordination with the WASH complex has also been reported as essential in regulating levels of circulating low-density lipoprotein (LDL) by mediating the endosomal sorting of its receptor, LDLR. Mutations that affect the formation of the CCC complex result in mislocalization of LDLR and reduced LDL uptake (Bartuzi et al., 2016), as well as changes in LDLR-related protein 1 (LRP1) trafficking (Fedoseienko et al., 2018).

In patients with Wilson disease, copper toxicosis is caused by a loss-of-function mutation in the copper-transporting ATPase ATP7B (Bull et al., 1993). ATP7B has a dual role in maintaining copper homeostasis. In the liver, ATP7B functions in the TGN, where it transports copper into the lumen for biosynthesis of secreted cuproproteins. However, when cellular copper levels are elevated, ATP7B traffics in vesicles toward the apical membrane to move excess copper into bile for excretion from the body (La Fontaine and Mercer, 2007; Lutsenko et al., 2007). COMMD1 interacts with ATP7B in vivo and in vitro (Tao et al., 2003), supporting a role in ATP7B regulation. Additionally, siRNA-mediated knockdown of COMMD1 resulted in decreased ATP7B at the TGN in the mouse hepatoma cell line Hepa 1-6 when cells were treated with high copper for 24 h, then exposed to a copper chelator, implying a function in retrograde trafficking (Miyayama et al., 2010). However, the specific function of COMMD1 in ATP7B trafficking, and thus in regulating cellular copper export, remains unclear.

In this study, we tested the hypothesis that the role of COMMD1 in copper homeostasis is through modulation of the ATP7B trafficking itinerary. Quantitative immunofluorescence microscopy was used to monitor ATP7B subcellular localization in the HepG2 hepatoma cell line. COMMD1 impacts ATP7B trafficking in cells, where reduced levels of COMMD1 result in loss of ATP7B colocalized with lysosomes as well as at the TGN, and an accumulation of ATP7B associated with retromer at the EE. Overexpression of COMMD1 also promoted mislocalization of ATP7B, whereas expression of COMMD1 variants defective in PtdIns(4,5)P2 binding diminished this effect. Taken together, these data illustrate the functional role of COMMD1 in maintaining ATP7B trafficking fidelity and indicate the importance of COMMD1 interaction with PtdIns(4,5)P2 in exerting effects on ATP7B. These observations reveal new potential functional roles for COMMD proteins and their specific interactions with signaling lipids in maintaining the fidelity of membrane protein trafficking.

RESULTS

Quantitative colocalization monitors ATP7B redistribution in response to copper exposure

A quantitative colocalization approach was used to monitor the copper-responsive trafficking itinerary for ATP7B in HepG2 cells. ATP7B is known to localize at the TGN, where it functions to transport copper into the lumen for biosynthesis of secreted cuproproteins (Lutsenko et al., 2008). When copper levels increase, ATP7B traffics in vesicles to lysosomes and toward the apical membrane to facilitate copper sequestration or efflux (Polishchuk et al., 2014), although it is expected that some must remain at the TGN for continued cuproprotein synthesis. Polishchuk and co-workers established a lysosomal location for non-TGN ATP7B under high copper conditions (Polishchuk et al., 2014). Therefore, we analyzed ATP7B colocalization with lysosomes and the TGN in HepG2 cells under varying copper treatments. The Manders (M1 and M2) and Pearson coefficients were calculated (see Materials and Methods for equations and descriptions) to define ATP7B colocalization in individual cells. As previously described, the Manders coefficient is a direct measure of the fraction of colocalized proteins, whereas Pearson coefficients in colocalization are useful measures of linear protein association (Dunn et al., 2011). Thus, M1, M2 and the Pearson coefficient each answer a different question. In these experiments, we assigned ATP7B to the ‘green’ channel, such that M2 is the fraction of ATP7B that is colocalized with the target marker (e.g. TGN46), whereas M1 is the fraction of the target marker that is colocalized. Because they are fractional values, M1 and M2 can also be used to interpret changes in relative abundance of a colocalized protein under different conditions. Correlation and colocalization values for each pair of proteins are shown as scatter plots with overlaid contours to visualize the distribution of values in each treatment and to identify changes in ATP7B colocalization with specific compartment markers in response to copper levels.

Representative images with approximate median colocalization values are shown in Fig. 1A,B. Both Manders values indicate that the ratio of ATP7B localized with the TGN remained constant under all copper treatments (Fig. 1C,D). The Pearson coefficients also indicate that the variance in relation to the TGN does not change, with the exception of a slight insignificant increase under low copper conditions (Fig. 1E). In contrast, the ATP7B lysosomal pool showed a significant response to copper, with increased mean values for both the Manders and Pearson coefficients after treatment with 10, 100 and 200 µM CuCl2 and decreased values after treatment with the copper chelator tetrathiomolybdate (TTM), compared with basal medium (Fig. 1F-H). Thus, both the fraction of ATP7B colocalized with LAMP1 (M2) and ATP7B correlation with LAMP1 (Pearson) responded to copper levels. This, along with the observation that localization remained constant at the TGN indicates that ATP7B synthesis is probably upregulated under high copper conditions, and that the increase in the pool is shifted toward the lysosomes. Under low copper conditions (10 µM TTM treatment), excess ATP7B leaves lysosomes.

Fig. 1.

Fig. 1.

Colocalization of ATP7B with TGN46 or LAMP1. Cells were left untreated (basal medium), treated with 10 μM TTM (low copper) or treated with 10, 100 or 200 μM CuCl2. (A,B) Merged images show ATP7B in green, TGN46 (A) or LAMP1 (B) in magenta and the nucleus in blue; pixel overlap is shown in white. (C-H) 3D colocalization analysis produced M1, M2 and Pearson correlation coefficients for ATP7B and TGN46 (C-E) or LAMP1 (F-H). Values were calculated for each cell and plotted as mean±s.d., with contour plots for visualization of distribution. All data points are shown. Dunnett's method was used to compare treated and untreated cells (MEM); *P<0.05.

Taken together, these data demonstrate that copper-responsive ATP7B distribution can be quantified by 3D colocalization analysis. Furthermore, ATP7B localization is not binary; the data indicate continuous trafficking between various cellular compartments. These results support a trafficking itinerary in which the cell responds to changes in copper levels by adjusting the proportion of ATP7B localized at a specific target compartment. When cellular copper levels decrease, the lysosomal pool of ATP7B decreases; when copper levels increase through addition of 10, 100 or 200 µM CuCl2 to the medium, ATP7B is directed to the lysosome.

COMMD1 is a modifier of ATP7B localization

Bedlington Terriers with a loss-of-function mutation in both alleles of COMMD1 suffer copper toxicosis as a result of impaired ability to excrete biliary copper (Van De Sluis et al., 2002). Furthermore, liver-specific COMMD1 knockout mice fed a copper-enriched diet show increased intrahepatic copper levels compared with control mice (Vonk et al., 2011). Therefore, we determined the impact of COMMD1 depletion by siRNA on copper-responsive ATP7B trafficking.

We found that ATP7B colocalization with the TGN (M2) increased under low copper conditions in cells with decreased COMMD1 expression, as compared with control cells (Fig. 2A-C; Fig. S1). However, M1 remained unchanged, indicating that the proportion of total ATP7B localized with the TGN increased, whereas the amount of ATP7B at the TGN did not. When treated with 200 µM CuCl2, both the amount of ATP7B (M1) and the proportion of ATP7B localized at the TGN (M2) decreased significantly in cells with reduced COMMD1 expression. The Pearson correlation coefficient for ATP7B with lysosomes decreased in cells with depleted COMMD1 under low copper conditions, whereas M1 and M2 both remained unchanged (Fig. 2D-F). M1, M2 and Pearson values for ATP7B with lysosomes all showed a significant decrease in 200 µM CuCl2-treated cells with reduced COMMD1. This indicates that, under high copper conditions, both the amount of ATP7B at the lysosomes and the proportion of the ATP7B pool that is associated with lysosomes decreases when COMMD1 is less abundant.

Fig. 2.

Fig. 2.

Colocalization of ATP7B with TGN46 or LAMP1 in cells with reduced COMMD1 expression. Cells were transfected with COMMD1 (siCD1) or nontarget (control) siRNA and treated with TTM (low copper) or 200 μM CuCl2 and cycloheximide for the last hour. (A-C) 3D colocalization analysis of ATP7B with TGN46. (D-F) 3D colocalization analysis of ATP7B with LAMP1. The M1, M2 and Pearson coefficients were calculated for each cell and plotted as mean±s.d., with contour plots for visualization of distribution. All data points are shown. Student's t-test was used to compare COMMD1 knockdown with the control for each copper treatment; *P<0.05, **P<0.005.

Replicate wells were additionally treated with chloroquine and MG132 to prevent protein degradation. Chloroquine functions to prevent endosomal acidification, thereby preventing fusion of endosomes and lysosomes. Furthermore, it increases lysosomal pH, inhibiting protein degradation. MG132 was added to prevent degradation via proteasomes. Under these conditions, colocalization between ATP7B and lysosomes was not significantly different under high or low copper conditions in cells with depleted COMMD1, as compared with the control. ATP7B colocalization with the TGN was also not significantly different in cells treated with high copper (200 µM CuCl2). However, when treated with TTM, cells with depleted COMMD1 showed a significant (P=0.0195) increase in the Pearson coefficient, indicating increased association between ATP7B and the TGN (Fig. 3; Fig. S2). However, M1 and M2 were not significantly different and therefore the proportion of ATP7B localized with TGN46 and vice-versa did not change.

Fig. 3.

Fig. 3.

Colocalization of ATP7B with TGN46 or LAMP1 in cells with reduced COMMD1 expression. Cells were transfected with COMMD1 (siCD1) or nontarget (control) siRNA and treated with TTM (low copper) or 200 μM CuCl2 and cycloheximide with the addition of MG132 and chloroquine (CLQ) for the last hour. (A-C) 3D colocalization analysis of ATP7B with TGN46. (D-F) 3D colocalization analysis of ATP7B with LAMP1. The M1, M2 and Pearson coefficients were calculated for each cell and plotted as mean±s.d., with contour plots for visualization of distribution. All data points are shown. Student's t-test was used to compare COMMD1 knockdown with the control for each copper treatment; *P<0.05.

Taken together, these results indicate that COMMD1 has an important role in maintaining the ATP7B trafficking itinerary. In cells with reduced COMMD1 expression and treated with TTM, the amount of ATP7B at the TGN remained constant whereas the proportion of the cellular pool increased, indicating a decrease in the trafficking fraction of ATP7B. The lysosomal pool remained unchanged under the same conditions. Alternatively, when COMMD1-depleted cells were treated with high copper, the amount of ATP7B associated with the both the TGN and lysosome significantly decreased, as did the proportion of cellular ATP7B associated with these compartments. This indicates that ATP7B trafficking induced by excess cellular copper levels is altered by depletion of COMMD1, with ATP7B potentially trapped in another compartment. When fusion of endosomes and lysosomes was blocked with chloroquine, the observed shifts in ATP7B distribution were lost. This suggests that COMMD1 is important in directing ATP7B to the recycling pathway in the EE. Thus, when COMMD1 is knocked down, ATP7B might be directed to the lysosomal degradation pathway or trapped in the endosome.

ATP7B accumulates in endosomes in COMMD1-depleted cells

The Burstein group (University of Texas Southwestern Medical Center) reported that COMMD1 forms a novel complex with CCDC22, CCDC93 and C16orf62. They suggested that this CCC complex is recruited by FAM21 to endosomes (Phillips-Krawczak et al., 2015). FAM21 functions in coordination with the WASH complex, retromer and sorting nexins to facilitate tubulation of early endosomes and receptor trafficking. Thus, we examined ATP7B localization with VPS35, the core component of retromer, in response to attenuated COMMD1. HepG2 cells were transfected with siCOMMD1 or control siRNA and treated with TTM or CuCl2 as described. COMMD1-depleted cells grown in TTM showed a dramatic increase (P<0.0001) in ATP7B:VPS35 colocalization for all three coefficients (Fig. 4A-C; Fig. S3). In cells treated with 200 µM CuCl2, COMMD1 attenuation did not significantly increase the Pearson coefficient; however, both M1 and M2 were again dramatically increased. ATP7B accumulation with VPS35 under these conditions indicates that COMMD1 is important for ATP7B exit from the early endosome and further implicates COMMD1 in ATP7B retrograde trafficking. We observed a decrease in ATP7B colocalization with both EEA1 and transferrin when COMMD1 was knocked down in cells treated with 200 µM CuCl2 (Fig. S4), which supports COMMD1 influence on trafficking in an endosomal compartment and thus its accumulation in VPS35-positive endosomes.

Fig. 4.

Fig. 4.

COMMD1 modulates ATP7B abundance and localization at the early endosome. (A-C) Colocalization of ATP7B with the retromer subunit VPS35. Cells were transfected with COMMD1 siRNA (siCD1) or nontarget (control) siRNA and treated with TTM (low copper) or 10 or 200 μM CuCl2 and cycloheximide for the last hour. 3D colocalization analysis produced M1, M2 and Pearson coefficients. Values were calculated for each cell and plotted as mean±s.d., with contour plots for visualization of distribution. All data points are shown. The Student's t-test was used to compare COMMD1 knockdown with the control for each copper treatment; **P<0.005. (D-F) HepG2 cells were treated with control siRNA or with 1, 5, 10, 15, or 20 nM siRNA to deplete COMMD1 levels gradually. (D) Dashed line shows linear regression of normalized band density of ATP7B versus COMMD1 in cells with reduced COMMD1. (E) ATP7B and COMMD1 abundance was assessed by densitometry analysis of western blots with band density normalized to the Coomassie Blue stained blot. Statistical analysis shows a negative linear correlation between COMMD1 and ATP7B abundance. (F) MTT assay (N=3) was used to analyze copper tolerance with COMMD1 knockdown (repeated three times).

Recent studies have linked COMMD1 to LDLR trafficking, with similar colocalization to VPS35-positive endosomes when COMMD1 is knocked down in HEK293T cells (Bartuzi et al., 2016). We further analyzed LDLR trafficking in HepG2 cells that were briefly serum limited and then recovered and found decreased colocalization of LDLR with both VPS35 and EEA1 (Fig. S4). This difference could be a result of the differences between polarized liver-derived HepG2 and non-polarized mouse embryonic fibroblast (MEF) cells, in which trafficking itineraries and machinery could be distinct. However, the change in colocalization of LDLR with the endosomal compartment in response to COMMD1 knockdown in these cells supports the role of COMMD1 in modulation of endocytic trafficking.

Knockdown of COMMD1 results in an increase in the total pool of ATP7B

Previous studies in multiple cell lines have demonstrated that COMMD1 knockdown by RNA interference results in increased cellular copper levels (Burstein et al., 2004; Spee et al., 2007). However, the interaction of COMMD1 attenuation with ATP7B abundance has not been documented. Using siRNA as in trafficking experiments, we knocked COMMD1 down to varying degrees and then assessed the amount of ATP7B present. We found that the cellular pool of ATP7B increased as COMMD1 levels were reduced (Fig. 4D,E). This inverse correlation fits a linear model, with an R2 value of 0.87. The data suggest that decreased COMMD1 does not necessarily result in loss of ATP7B, despite apparent loss of copper export. These results are consistent with loss of copper export in Wilson disease patients with mutations that impact the trafficking itinerary of ATP7B. These observations also indicate that COMMD1 is probably not responsible for preventing ATP7B degradation, but instead is involved in directing ATP7B to the correct recycling pathway.

The slight increase in ATP7B abundance and altered trafficking itinerary suggests that the cells might be less tolerant to copper treatment. We tested this hypothesis by assessing copper impacts on cell metabolic activity when COMMD1 was knocked down. COMMD1-depleted cells had similar responses to control cells when grown in CuCl2-containing media, as determined by MTT 3-2,5-diphenyltetrazolium bromide conversion to insoluble formazan (Fig. 4F). We expect that this result is due to continued ATP7B function in the endocytic compartment and potential sequestration of copper. ATP7B gene expression levels were likewise little changed under the experimental conditions: ATP7B expression in cells with COMMD1 knocked down compared with control and TTM-treated cells exhibited a fold change of 0.71±0.21, whereas COMMD1 knockdown and 200 µM CuCl2 treatment resulted in an ATP7B fold change of 1.06±0.25.

PtdIns(4,5)P2 binding by COMMD1 is important in modulation of ATP7B trafficking

Because decreased cellular levels of COMMD1 modulated ATP7B trafficking in a dose-dependent manner, we tested the hypothesis that excess COMMD1 also impacts ATP7B localization. Using an inducible system to increase cellular COMMD1 levels, cells overexpressing wild-type COMMD1 under low copper conditions (TTM treatment) showed no significant change in ATP7B colocalization at the TGN. Under high copper conditions (200 µM CuCl2), overexpression of wild-type COMMD1 resulted in a significant decrease in the Pearson coefficient for ATP7B and the TGN, indicating an impact on trafficking when copper levels are high (Fig. 5; Fig. S5).

Fig. 5.

Fig. 5.

Colocalization of ATP7B with TGN46 or LAMP1 in cells with reduced COMMD1 misexpression. Cells were transfected with one of three COMMD1 variants: GFP-COMMD1, GFP-COMMD1 T174M and GFP-COMMD1 K167/173E. They were then treated with TTM (low copper) or 200 μM CuCl2 for 9 h with cycloheximide added for the last hour. (A-C) 3D colocalization analysis of ATP7B with TGN46. (D-F) 3D colocalization analysis of ATP7B with LAMP1. The M1, M2 and Pearson coefficients were calculated for each cell and plotted as mean±s.d., with contour plots for visualization of distribution. All data points are shown. Dunnett's method was used to compare COMMD1 variants with the wild type; *P<0.05, **P<0.005.

A study analyzing atypical phenotypes of Wilson disease revealed a patient with a missense mutation in COMMD1, resulting in an amino acid change of threonine 174 to methionine (T174M). This patient exhibited unusually severe early-onset Wilson disease (Gupta et al., 2010). The T174M mutation is in close proximity to two positively charged residues, K167 and K173 (Fig. 6A), which are key targets for phosphatidylinositol interaction based on structural models of COMMD1 (Burkhead et al., 2009; Healy et al., 2018). We analyzed COMMD1 wild-type and mutant affinities for a soluble PtdIns(4,5)P2 by intrinsic fluorescence quenching and observed a small decrease in in vitro PtdIns(4,5)P2 affinity for T174M compared with wild type, and a substantial (fivefold) decrease in PtdIns(4,5)P2 affinity in the K167E/K173E mutant (Fig. 6B). In cells, overexpression of either T174M or K167E/K173E mutants resulted in a significant reduction in the Pearson coefficient for ATP7B with the TGN under TTM or high copper treatments (Fig. 5A-C). The Manders M1 and M2 distributions were also shifted down (Fig. 5A-C); however, only M1 (TGN46colocalized/TGN46, or the amount of ATP7B localized at the TGN) decreased significantly. Similar to the wild type, expression of COMMD1 T174M induced a significant decrease in the Pearson coefficient for ATP7B:lysosomes under high copper conditions but only a minimal shift in the distribution under low copper conditions (Fig. 5D-F). However, expression of COMMD1 K167E/K173E had no effect on the localization of ATP7B under either treatment, compared with nontransfected cells, indicating that PtdIns(4,5)P2 binding is important in COMMD1 modulation of ATP7B trafficking. We analyzed colocalization of overexpressed wild-type and mutant COMMD1with ATP7B to determine whether the in-cell association was lost. Despite overexpression of COMMD1, which favors association, we found that the K167/173E mutant was less associated with ATP7B compared with the wild type and T174M, as indicated by decreased M1 value (COMMD1 is in the ‘red’ channel) (Fig. 6), supporting a role for PtdIns(4,5)P2 in modulating the COMMD1–ATP7B interaction. These results are consistent with the relative PtdIns(4,5)P2 affinities determined in vitro (Fig. 6B). Qualitatively, the K167/173E mutant exhibited a more diffuse localization in cells compared with wild-type or T174M COMMD1. The lack of change in M2 (fraction of ATP7B total pixels that colocalize with COMMD1) values suggests that the abundance of ATP7B does not change with expression of different mutants compared with wild type.

Fig. 6.

Fig. 6.

COMMD1–PtdIns(4,5)P2 interaction measured by fluorescence quenching of all aromatics. (A) Structural model of COMMD1 showing the close proximity of T174 to the positively charged residues K167 and K173. (B) Each line represents the change in fluorescence emission measured at 332 nm of one COMMD1 variant with increasing amounts of PtdIns(4,5)P2 (PIP2) when excited to 280 nm. A saturation curve was generated by raw quenching data using the formula y=1−(f1/f0), where f1 is the emission in counts per second at a given concentration, and f0 is the emission in counts per second of the first data point where concentration is zero. Nonlinear regression of binding curves resulted in Kd=40.43 nM, Bmax=0.1871, R2=0.9177 for the wild type; Kd=62.52 nM, Bmax=0.2013 R2=0.9788 for T174M; and Kd=284.1 nM, Bmax=0.01532, R2=0.9721 for K167/173E (n=3 for all data points). The x-axis shows points up to 1000 nM for visual display of saturation points, although all data points up to 8500 nM were included for calculations. (C) Example images showing colocalization of ATP7B with wild type, T174M and K167/173E COMMD1. ATP7B is in green and COMMD1 variants in magenta as indicated. (D-F) 3D colocalization analysis of ATP7B with wild-type, T174M and K167/173E COMMD1. The M1, M2 and Pearson coefficients were calculated for each cell and plotted as mean±s.d., with contour plots for visualization of distribution. Groups with no difference in means as determined by Tukey's HSD are connected by colored bars. All data points are shown.

Competition for PtdIns(4,5)P2 modifies ATP7B trafficking, whereas global modulation of PtdIns(4,5)P2 disrupts crucial homeostatic trafficking

COMMD1 binds to PtdIns(4,5)P2 with high specificity via the conserved C-terminal domain (Burkhead et al., 2009). Therefore, we tested the hypothesis that modification of cellular PtdIns(4,5)P2 levels affects ATP7B localization by overexpression of PtdIns(4,5)P2-modifying enzymes. ADP-ribosylation factor 6 (ARF6) regulates trafficking between endosomes and the PM. Aikawa and Martin (2003) found that expression of the constitutively active GTPase-defective ARF6Q67L mutant redistributes PtdIns(4,5)P2 from the PM to endosomes. If COMMD1 is recruited to endosomes by PtdIns(4,5)P2, it is expected that more ATP7B would remain in the recycling pool. Alternatively, the overexpression of a PtdIns(4,5)P2-5-phosphatase should deplete cellular PtdIns(4,5)P2 levels, resulting in more ATP7B being directed toward degradation. Furthermore, the Pleckstrin homology (PH) domain of phospholipase C delta (PLCδ) has also been shown to bind with high specificity to PtdIns(4,5)P2 (Várnai and Balla, 1998). Although the binding affinity of the PH domain could be lower than that of COMMD1, PH domain overexpression might compete with COMMD1 for PtdIns(4,5)P2 binding sites and shift the distribution of ATP7B. Thus, to determine how modulation of PtdIns(4,5)P2 affects ATP7B localization, HepG2 cells were transfected with plasmids to express ARF6Q67L, PtdIns(4,5)-5-phosphatase, PLCδ PH domain fused with GFP or GFP as a control; cells were then treated with TTM or copper as above.

In cells expressing ARF6Q67L under low copper (TTM) conditions, both the Pearson and M1 coefficients for ATP7B/TGN46 colocalization were significantly decreased compared with the control cell population (Fig. 7A-C; Fig. S6). When treated with 200 µM CuCl2, there was an increase in M2, but M1 and Pearson coefficients showed no significant change (Fig. 7A-C). There was no change in colocalization between ATP7B and LAMP1 in cells expressing ARF6Q67L with high or low copper conditions (Fig. 7D-F). Cells expressing PtdIns(4,5)-5-phosphatase lost all TGN46 signal. This is probably a result of an increase in phosphatidylinositol 4-phosphate (PtdIns4P) at the trans-Golgi. PtdIns4P is known to recruit clathrin adaptor AP-1 to the trans-Golgi (Wang et al., 2003), which functions to sort proteins for trafficking from the trans-Golgi to endosomes and lysosomes. Therefore, it is likely that TGN46 anterograde trafficking was dramatically increased, transporting all TGN46 to the endosomes and eventually the lysosome. This probably also impacted protein sorting and trafficking for many other cargo proteins, including ATP7B. These observations suggest that artificially modulating PtdIns(4,5)P2 levels in cells is deleterious overall and impacts broad cellular functions. Thus, this data was not used to assess how interactions between COMMD1 and PtdIns(4,5)P2 affect ATP7B trafficking. Expression of the PLCδ PH domain (fused to GFP) had no significant effect on ATP7B localization with the lysosome and no significant effect on localization with the trans-Golgi under high copper conditions (Fig. 7A-C). However, overexpression of PH-GFP resulted in an ATP7B:TGN M2 (Fig. 7B) that was significantly higher than that of control nontransfected cells, indicating that the distribution of the ATP7B pool had shifted toward the trans-Golgi, supporting a role for PtdIns(4,5)P2 in ATP7B trafficking. The PH domain was observed at intracellular vesicles and at the PM in these experiments with HepG2 cells (Fig. S7). The results indicate that PtdIns(4,5)P2 could have a regulatory role at locations other than the PM, consistent with the observation that COMMD1–PtdIns(4,5)P2 interaction is important for COMMD1 to modulate ATP7B location.

Fig. 7.

Fig. 7.

Colocalization of ATP7B with TGN46 or LAMP1 in response to PtdIns(4,5)P2 modulation. HepG2 cells were transfected with the PH domain or ArfQ67L then treated with TTM (low copper) or 200 μM CuCl2 for 9 h with cycloheximide added for the last hour. (A-C) 3D colocalization analysis of ATP7B with TGN46. (D-F) 3D colocalization analysis of ATP7B with LAMP1. The M1, M2 and Pearson coefficients were calculated for each cell and plotted as mean±s.d., with contour plots for visualization of distribution. All data points are shown. Dunnett's method was used to compare cells expressing indicated proteins with control; *P<0.05, **P<0.005.

DISCUSSION

Prior studies found that knockdown of COMMD1 in various cell lines resulted in increased copper retention (Burstein et al., 2004; Miyayama et al., 2010; Spee et al., 2007). Furthermore, knockdown in mouse Hepa1-6 cells prevented ATP7B retrograde trafficking from the periphery of the cell to the TGN when copper levels were reduced (Miyayama et al., 2010). Previous studies have also identified COMMD1 as a component of the CCC complex and suggested that it functions at the recycling subdomain of the early endosome (Bartuzi et al., 2016; Phillips-Krawczak et al., 2015). The current model for retromer-independent cargo retrieval suggests that the WASH complex is first recruited to the EE, which then recruits the CCC complex through interactions with the FAM21 tail. From here, the CCC complex can then recruit the ‘retromer-like’ complex retriever, which then interacts with SNX17 and its bound cargo, leading to retrieval of the cargo from degradation (for an in-depth review, see McNally and Cullen, 2018). Moreover, the specific function of COMMD1 in ATP7B trafficking and thus in maintaining cellular copper homeostasis has been elusive until now. The broader impacts of COMMD1-mediated trafficking for targets other than ATP7B are also not fully understood, as COMMD1 appears to function as a pleiotropic cargo-directing adaptor.

Our current study determined that COMMD1 attenuation in HepG2 cells reduces the amount of ATP7B at the lysosome and TGN when trafficking is induced by high copper conditions (Figs 2 and 3). Additionally, COMMD1 attenuation leads to ATP7B accumulation in the EE (Fig. 4) and an overall increase in ATP7B abundance (Fig. 4). Taken together, the results indicate that COMMD1 functions to ensure fidelity of ATP7B recycling or trafficking to the lysosome. As ATP7B is directed to the cytoplasmic surface of the lysosome (Polishchuk et al., 2014), consistent with our observations (Fig. S8), this targeting is not for degradation but to function in copper sequestration.

Determination of a specific role for COMMD1 in modulation of ATP7B trafficking provides new information about the cellular and biochemical functions of COMMD-containing trafficking complexes such as CCC and COMMANDER, the latter being described as an evolutionarily conserved complex containing all ten COMMD proteins (Mallam and Marcotte, 2017). We observed a consistent pool of ATP7B colocalized with the TGN, regardless of copper treatment. The portion of ATP7B colocalized with the lysosome increased when copper levels were increased (Fig. 1). Under high copper conditions, the cell must continue to produce cuproproteins while simultaneously managing and sequestering the excess copper load. It is likely that the cell upregulates ATP7B under these conditions and that the additional ATP7B is directed to the lysosome. The data herein inform a model whereby ATP7B functions at the TGN for biosynthesis of cuproporteins and at the surface of the lysosome for sequestration of excess copper. In this model, ATP7B traffics between the TGN, the EE and the lysosome and its distribution is regulated at the EE by COMMD1 and its interaction with PtdIns(4,5)P2 (Fig. 8).

Fig. 8.

Fig. 8.

ATP7B trafficking itinerary in hepatocytes. COMMD1 promotes ATP7B exit from the early endosome as part of the retromer/CCC complex.

Prior studies report that COMMD1 interacts with phosphatidylinositols, with a strong preference for PtdIns(4,5)P2 and to a lesser degree with PtdIns4P and phosphatidic acid (Burkhead et al., 2009). Other recent work suggests that COMMD1 binds nonspecifically to negatively charged phospholipids (Healy et al., 2018). However, our current experiments found that attenuation of the COMMD1 interaction with PtdIns(4,5)P2 results in altered ATP7B trafficking (Figs 5 and 6), supporting a distinct role for PtdIns(4,5)P2 in COMMD1-modulated trafficking. Specifically, overexpression of wild-type COMMD1 appeared to direct ATP7B away from the lysosome, whereas expression of the mutant variants, with decreased ability to bind PtdIns(4,5)P2, reduced the amount at the TGN. It may be that the interaction with PtdIns(4,5)P2 acts as the decision-making switch that directs ATP7B to the TGN or to function at the lysosome. Curiously, a current paradigm suggests that PtdIns(4,5)P2 is indicative of the PM and related processes (Balla, 2013). However, our observations with respect to COMMD1-mediated trafficking, as well as observation of the PLCδ PH domain in association numerous intracellular vesicles, suggest a broader cellular role. The impact of PLCδ PH on ATP7B trafficking is also suggestive of a specific role for this lipid in ATP7B trafficking, most likely through COMMD1 action (Fig. 7). Thus, in addition to the PM-related signaling, PtdIns(4,5)P2 might function as an important regulator at locations that include PM-derived components such as the EE. Taken together, this work begins to answer the question of how the cell maintains trafficking fidelity of ATP7B [through COMMD1 PtdIns(4,5)P2] and reveals a cellular and biochemical mechanistic model for COMMD function in cells. Although additional trafficking components have been identified in other studies, this work establishes a mechanism of action for COMMD1 and phosphatidylinositols in maintenance of cellular trafficking itineraries.

From a technical standpoint, this work emphasizes the importance of quantitative methods in studies of membrane protein trafficking. Here, an application is presented that illustrates the utility of quantitative immunofluorescence microscopy and statistical analysis. Additionally, these results demonstrate that our quantitative methods provide a refined view of subcellular protein distribution.

MATERIALS AND METHODS

Cell culture, plasmid transfection and copper treatment

Tet-on HepG2 cells (Clontech-Takara) were seeded on polylysine-coated glass coverslips in 12-well plates at 0.7×105 cells/well and grown in MEM/EBSS medium containing 10% FBS and penicillin/streptomycin at 37°C with 5% CO2 (basal medium). Cells were incubated for 2 days and then transfected with specified plasmids or siRNA using TurboFect (ThermoFisher) followed by overnight incubation. Cells were examined for morphology consistent with HepG2 cells. Routine DAPI staining as part of immunofluorescence microscopy ensured that the cells were free of mycoplasma contamination.

Copper treatments: Cells were treated with 10, 100 or 200 µM CuCl2 (‘CU’ label in figures) or 10 µM tetrathiomolybdate (TTM) for 9 h. Control cells were kept in basal medium. Cycloheximide was added for the last hour to prevent new protein synthesis. The plating, growth and transfection procedures allowed sufficient time for HepG2 cells to polarize (Sormunen et al., 1993). Experiments were repeated three or more times.

COMMD1 expression was attenuated using endoribonuclease-prepared short interfering RNA (esiRNA; Sigma-Aldrich, St. Louis, MO) at concentrations of 1, 5, 10, 15 and 20 nM or with 10 nM nontarget control RNA.

Cell metabolic activity was determined by MTT assay (Vybrant MTT Assay, ThermoFisher) according to the manufacturer's instructions. Cells were treated with 0, 100, 200, 400, 600, 800, 1000 and 1200 µM CuCl2 for 16 h prior to the MTT assay and during the 4 h MTT treatment. For ATP7B gene expression analysis, cells were grown on 12-well plates and treated with nontarget or siCOMMD1 siRNA and TTM or 200 µM CuCl2 as above (n=3 per treatment). Total RNA was isolated with Trizol (Invitrogen, Carlsbad, CA), reverse transcribed using MMLV RNase H– reverse transcriptase (Promega, Madison, WI) with poly-T and hexamer primers. Quantitative PCR used a Bio-Rad (Hercules, CA) CFX96 real-time thermal cycler with Bio-Rad SsoAdvanced Sybr green quantitation.

Plasmids and antibodies

The initial cloning of the COMMD1 cDNA sequence is described in Burkhead et al. (2009). The COMMD1 sequence was amplified by PCR using the Pfu DNA polymerase (Roche, Basel, Switzerland), using an upstream primer to add a HindIII restriction site and retaining the SalI site downstream of the coding sequence. This insert was ligated into the HindIII and SalI sites in the peGFP-C1 plasmid (Clontech). The eGFP and COMMD1 coding sequence was subcloned to pTre-TIGHT-Bi (Clontech) by introducing a BamH1 site upstream of the eGFP start codon and ligating the eGFP-COMMD1 insert into the BamH1 and SalI sites of pTRE-Tight-BI (Clontech). The insert sequence was verified by dideoxy-Sanger sequencing. T174M and K167E/K173E mutations were introduced to the same construct by Quickchange site-directed mutagenesis (Agilent) and verified by dideoxy-Sanger sequencing. Overexpression of COMMD1 and variants used the pTre-TIGHT-Bi plasmids containing wild-type, T174M or K167E/K173E COMMD1 transfected into HepG2 cells as described above. GFP-COMMD1 expression was induced by inclusion of 750 nM doxycycline in the growth medium. For Escherichia coli expression, COMMD1-T174M and COMMD1-K167/173E were synthesized and inserted into pET32 with an N-terminal His6 tag and thrombin cleavage site as in previous work with pET28b (Burkhead et al., 2009).

The following plasmids were generously donated: HA-AfrQ67L was provided by J. Donaldson (NHLBI/NIH Bethesda, MD) (Donaldson, 2003), MYC-5-ptase IV was provided by P. Majerus (Washington University School of Medicine, St. Louis, MO) (Kisseleva et al., 2002) and PH-GFP was provided by T. Balla (NIH, Bethesda, MD) (Várnai and Balla, 1998).

Primary antibodies and concentrations used for immunofluorescence microscopy were as follows: 1:750 rabbit anti-ATP7B (Abcam, Cambridge, MA), 1:1000 mouse anti-LAMP1 (Developmental Studies Hybridoma Bank, Iowa City, Iowa), 1:300 sheep anti-TGN46 (Acris Antibodies, San Diego, CA), 1:300 mouse anti-Golgin-97 (Invitrogen, Carlsbad, CA), 1:500 goat anti-VPS35 (Abcam, Cambridge, MA), 1:500 rat anti-HA (Roche Diagnostics, Indianapolis, IN), 1:500 rat anti-C-Myc (Bio-Rad, Hercules, CA), mouse anti-COMMD1 (Novus Biologicals, Littleton, CA), 1:1000 mouse ant-EEA1 1F8-S (Developmental Studies Hybridoma Bank, Iowa City, IA) and 1:4000 rabbit anti-LDLR (Invitrogen, Carlsbad, CA). Secondary antibodies were conjugated to Alexa Fluor 488 and 647 (Invitrogen, Carlsbad, CA) and Dylight 550 (Novus Biologicals, Littleton, CO).

Transferrin localization with ATP7B was determined under 200 µM CuCl2 treatment as above. Cells were serum-starved for 40 min with 0.5% BSA added to the medium. Serum-replete medium was restored containing 25 µg transferrin-rhodamine (Rockland Immunochemicals, Limerick, PA) for 25 min. Cells were washed in PBS, fixed and processed for immunofluorescence.

Immunofluorescence staining

Cells grown on lysine-coated circle coverslips were fixed in cold 4% paraformaldehyde in PBS for 20 min in the dark, followed by blocking and permeabilization in BP buffer (3% BSA, 50 mM NH4Cl, 0.1% saponin in PBS with sodium azide) at 4°C overnight. Cells were then incubated with primary antibodies diluted in BP buffer for 2 h at room temperature in a dark humidified chamber. After three 10 min washes in BP buffer, the cells were incubated in secondary antibodies diluted in BP buffer for 45 min at room temperature in a dark humidified chamber. This was followed by three washes in BP buffer, a 10 min incubation in DAPI diluted 1:1000 in PBS and two final washes in PBS. Coverslips were then rinsed in water and mounted to slides with Fluoromount-G (Southern Biotech).

Immunofluorescence microscopy and 3D deconvolution

Cells were imaged using a Leica (Allendale, NJ) DM6000 widefield microscope with a 63×1.40-0.60 oil objective and Photometrics (Tuscon, AZ) CoolSNAP MYO CCD camera. Cells with intact nuclei were selected for imaging. For cells expressing GFP constructs, GFP expression was assessed and only cells with moderate expression and intact nuclei were imaged. Images were acquired as four channel 16-bit 1940×1460 (0.072×0.072 µm pixels) stacks of 12-14 image slices with z-steps of 0.198 µm. Image stacks were then deconvolved using LAS-X 3D deconvolution using ten iterations, an automatically generated point spread function, background removal and intensity rescaling to compensate for any bleaching that occurred during image acquisition of the stack.

Colocalization and statistical analysis

The deconvolved image stacks were analyzed with Huygens Professional (Scientific Volume Imaging, Hilversum, The Netherlands) for colocalization analysis. ROI masks were created for each image to select cells of interest. Background for the two channels of interest was estimated using Huygens’ optimized method, which is a variation of Costes’ method but uses the entire histogram rather than the linear regression line to determine iteratively the background level. The Pearson and Manders (M1 and M2) correlation coefficients were then generated for each ROI. For an in-depth review of Pearson's correlation and Manders’ overlap coefficients, see A Practical Guide to Evaluating Colocalization in Biological Microscopy (Dunn et al., 2011). In brief, Pearson's correlation coefficient is a relatively simple statistic that measures the pixel-by-pixel covariance in the signal intensity of two images. The formula is for an image consisting of both a red (R) and a green (G) channel where Ri and Gi refer to the intensity values of the channels of pixel i, and Inline graphic and Inline graphic refer to the mean intensities of the channels across the entire image.

graphic file with name joces-132-231753-e1.jpg

Pearson's correlation is used to measure the degree to which a linear relationship can be used to explain the variability in pixel intensity in the red and green channels. Thus, the Pearson coefficient is a useful measure of association in a biological system when the relationship between the two probes is linear (Dunn et al., 2011). Here we use the Pearson coefficient to compare the degree to which probe association changes from one treatment to the next.

The Manders coefficient is a more direct and intuitive measure of the fraction of one protein that colocalizes with a second protein. Manders generates two coefficients for an image consisting of both a red and a green channel: M1 is the fraction of pixels in R that colocalize with pixels in G, independent of intensity, and M2 is the fraction of pixels in G that colocalize with pixels in R, independent of intensity. These values are calculated as follows:

graphic file with name joces-132-231753-e2.jpg

where Ri,coloc=Ri if Gi>0 and Ri,coloc=0 if Gi=0

graphic file with name joces-132-231753-e3.jpg

where Gi,coloc=Gi if Ri>0 and Gi,coloc=0 if Ri=0.

It is important to note that the Manders value is calculated independently of the intensity of the probe and therefore strictly measures co-occurrence (Dunn et al., 2011). For our purposes, the green channel represents ATP7B and the red channel represents the probe we are measuring against (TGN, lysosome or VPS35).

We used JMP Pro 13 (SAS Institute, Cary, NC) for statistical analysis. Power analysis based on preliminary experiments was used to determine an appropriate sample size. For each treatment, 15-20 cells were analyzed (biological replicates). Data were compiled, and cells in a given treatment were treated as a population. Student's t-test was used for direct comparisons between two treatments. Tukey's HSD test was used for multiple comparisons to test for differences between all tested pairs. Dunnett's test was used to compare multiple treatments individually against a single control. Data was plotted with JMP Pro 13.

Microsomal membrane preparation, western blot and densitometry

Cells were grown and treated as above. Cells were washed with cold PBS then placed at −80°C for 10 min. The cells were then resuspended in 1.0 ml homogenization buffer (25 mM Tris-HCl pH 7.4, 250 mM sucrose, 1 mM PMSF and protease inhibitor cocktail from Sigma) and homogenized with a Dounce homogenizer (40 strokes with a tight pestle). Lysed cells were then centrifuged at 700×g for 10 min at 4°C to pellet cell debris and nuclei, 3000×g for 10 min at 4°C to pellet mitochondria and, finally, at 20,000×g for 30 min at 4°C to pellet microsomal membranes. The supernatant was removed and concentrated using a 0.5 ml Pierce Concentrator with a 10K MWCO (Prod# 88513, ThermoFisher) and used for COMMD1 analysis. The pellet was resuspended in 40 µl NP40 buffer (50 mM Tris pH 8.0, 150 mM sodium chloride, 0.5% NP-40, 1 mM PMSF and protease inhibitor cocktail) and used for ATP7B analysis. Sample protein concentrations were determined with the Pierce BCA Protein Assay (Prod# 23227) and used to determine equal loading. ATP7B and COMMD1 abundance was assayed by sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) analysis using 15% and 7.5% acrylamide gels for COMMD1 and ATP7B, respectively. Proteins were then transferred to a PVDF membrane and visualized with monoclonal antibodies against ATP7B and COMMD1. After imaging, blots were stained with Coomassie Blue and imaged. Protein abundance was determined by densitometry using ImageJ; the Coomassie Blue blot was used to correct for unequal loading.

In-vitro PtdIns(4,5)P2 binding to COMMD1

Recombinant COMMD1 and variants T174M or K167E/K173E were expressed and purified essentially as described by Burkhead et al., (2009). The His6 tag was cleaved by addition of GST-thrombin to the refolded protein. Thrombin was removed by incubation with glutathione-Sepharose beads and the cleaved tag was removed by dialysis. Purified proteins were dialyzed against 20 mM HEPES, 50 mM potassium acetate, 1.0 mM EDTA and 0.05% CHAPS.

An intrinsic fluorescence quenching binding assay was prepared using PtdIns(4,5)P2 (1,2-dihexanoyl sodium salt) (Cayman Chemical, Ann Arbor, MI) as a ligand. Protein concentration was determined using OD280 with adjusted extinction coefficients (OD280 of the native protein versus OD280 of denatured 6 M Gdn-HCl). The initial point of the assay contained 50 nM of COMMD1 or mutant in a final volume brought to 2 ml. PtdIns(4,5)P2 was then titrated in 1-10 µl increments (total volume increase at the end of assay was 35 µl) and allowed 5 min equilibration time for each addition. Concentrations of PtdIns(4,5)P2 were 0, 50, 100, 150, 200, 250, 300, 400, 500, 750, 1000, 3500 and 8500 µM. Intrinsic fluorescence was measured with a Horiba (Kyoto, Japan) Fluoromax-3 spectrometer using an excitation of 280 nm and emission scans of 300-400 nM. Three scans were averaged for each data point and the assay was performed in triplicate for each protein variant. Peak at emission at 332 nm was used for calculations (n=3 for each variant). Graphs were generated in GraphPad Prism 7 to fit with a nonlinear curve using Saturation Binding equations and One site–Total.

Supplementary Material

Supplementary information

Acknowledgements

We thank Ezra Burstein for helpful comments and insight, as well as Elena Buglo, Caitlin Kollander, Nicholas Braman and Jessica Schwartz for lab assistance in development of the project.

Footnotes

Competing interests

The authors declare no competing or financial interests.

Author contributions

Conceptualization: D.J.S., K.K.S., J.L.B.; Methodology: D.J.S., K.K.S., B.N.M., J.L.B.; Validation: D.J.S., K.K.S., J.L.B.; Formal analysis: D.J.S., K.K.S., B.N.M., J.L.B.; Investigation: D.J.S., K.K.S., B.N.M., J.L.B.; Resources: J.L.B.; Data curation: D.J.S., J.L.B.; Writing - original draft: D.J.S., B.N.M., J.L.B.; Writing - review & editing: J.L.B.; Visualization: D.J.S., J.L.B.; Supervision: J.L.B.; Project administration: J.L.B.; Funding acquisition: J.L.B.

Funding

This work was supported by National Science Foundation grant MCB-1411890 to J.L.B., National Institutes of Health grant 1R15DK114747-01 to J.L.B. and an Institutional Development Award (IDeA) from the National Institute of General Medical Sciences of the National Institutes of Health under grant number P20GM103395. Deposited in PMC for release after 12 months.

Supplementary information

Supplementary information available online at http://jcs.biologists.org/lookup/doi/10.1242/jcs.231753.supplemental

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